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Beda Puspita Candra
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Penilaian Kinerja Karyawan Menggunakan Metode Simple Additive Weighting (SAW) Berdasarkan Pembobotan Analytical Hierarchy Process (AHP) Ivan Fibrian; Beda Puspita Candra
Computech : Jurnal Ilmiah Teknologi Informasi dan Komunikasi Vol. 1 No. 1 (2021): Januari 2021
Publisher : AMIK

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Penilaian kerja merupakan salah upaya untuk melakukan kontrol performa kerja karyawan. Oleh karena itu PT. Ditra Jaya selalu rutin melakukan penilaian kinerja karyawan di akhir tahun. Permasalahan yang terjadi saat ini adalah masing-masing kriteria tidak mempunyai nilai bobot, sehingga poin penilaian sama rata. Akibatnya hasil penilaian tidak mencerminkan kemampuan masing-masing karyawan. Selain itu kegiatan penilaian saat ini membutuhkan waktu ± 1bulan untuk rekap hasil penilaian, karena jumlah karyawan yang mencapai 300 orang. Berdasarkan permasalahan tersebut, penelitian ini mengusulkan sistem penilaian kinerja dengan metode AHP dan SAW. Metode AHP digunakan untuk menentukan bobot masing-masing kriteria. Sedangkan metode SAW berfungsi untuk melakukan analisa dan menampilkan rangking nilai hasil penilaian.Penerapan kombinasi metode AHP dan SAW dapat mempermudah proses analisa penilaian kinerja dengan hasil akurasi yang baik dan cepat, sehingga mempermudah kerja kepala divisi HRD untuk memberikan laporan hasil penilaian kinerja kepada pihak pimpinan perusahaan.
Perbandingan Performa Pencarian Data Berbasis Teks dengan Dan Tanpa Full-text Index pada Basis Data MySQL Imam Thoib; Beda Puspita Candra; Nafis Sururi; Danang Satya Nugraha
INSOLOGI: Jurnal Sains dan Teknologi Vol. 3 No. 6 (2024): Desember 2024
Publisher : Yayasan Literasi Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55123/insologi.v3i6.4596

Abstract

The amount of text-based data generated today is increasing drastically, especially with the development of digital technology and the internet. With the rapid growth of data, one of the main challenges faced is how to store and search large amounts of text-based data efficiently. This study analyzes the effect of using Full-text index in MySQL on the performance of text-based data searches, especially on large datasets. The study was conducted using a marketplace product dataset containing 2.3 million data. Testing includes searching using one, two, and three-word keywords in tables with and without full-text index. The test results show that tables with full-text index have faster search times than tables without Full-text index. Statistical analysis using the t-test produces a p value <0.05, indicating a significant effect of using Full-text index on data search efficiency. These findings confirm that full-text index is an effective solution to improve the performance of large-scale text data searches.
Co-Authors Danang Satya Nugraha Imam Thoib Ivan Fibrian Nafis Sururi